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f-Value: measuring an article’s scientific impact

Author

Listed:
  • Eleni Fragkiadaki

    (University of Macedonia Economic and Social Sciences)

  • Georgios Evangelidis

    (University of Macedonia Economic and Social Sciences)

  • Nikolaos Samaras

    (University of Macedonia Economic and Social Sciences)

  • Dimitris A. Dervos

    (Alexander Technology Educational Institute (ATEI) of Thessaloniki)

Abstract

The f-value is a new indicator that measures the importance of a research article by taking into account all citations received, directly and indirectly, up to depth n. The f-value considers all information present in a Citation Graph in order to produce a ranking of the articles. Apart from the mathematical equation that calculates the f-value, we also present the corresponding algorithm with its implementation, plus an experimental comparison of f-value with two known indicators of an article’s scientific importance, namely, the number of citations and the Page Rank for citation analysis. Finally, we discuss the similarities and differences among the indicators.

Suggested Citation

  • Eleni Fragkiadaki & Georgios Evangelidis & Nikolaos Samaras & Dimitris A. Dervos, 2011. "f-Value: measuring an article’s scientific impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 671-686, March.
    • Handle: RePEc:spr:scient:v:86:y:2011:i:3:d:10.1007_s11192-010-0302-9
    DOI: 10.1007/s11192-010-0302-9
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    References listed on IDEAS

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    1. Guns, Raf & Rousseau, Ronald, 2009. "Real and rational variants of the h-index and the g-index," Journal of Informetrics, Elsevier, vol. 3(1), pages 64-71.
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    3. Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2007. "Generalized Hirsch h-index for disclosing latent facts in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 253-280, August.
    4. Thomas R. Anderson & Robin K. S. Hankin & Peter D. Killworth, 2008. "Beyond the Durfee square: Enhancing the h-index to score total publication output," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 577-588, September.
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    Cited by:

    1. Chao Min & Qingyu Chen & Erjia Yan & Yi Bu & Jianjun Sun, 2021. "Citation cascade and the evolution of topic relevance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(1), pages 110-127, January.
    2. Eleni Fragkiadaki & Georgios Evangelidis, 2014. "Review of the indirect citations paradigm: theory and practice of the assessment of papers, authors and journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 261-288, May.
    3. Martín de Diego, Isaac & González-Fernández, César & Fernández-Isabel, Alberto & Fernández, Rubén R. & Cabezas, Javier, 2021. "System for evaluating the reliability and novelty of medical scientific papers," Journal of Informetrics, Elsevier, vol. 15(4).
    4. Jiang, Xiaorui & Zhuge, Hai, 2019. "Forward search path count as an alternative indirect citation impact indicator," Journal of Informetrics, Elsevier, vol. 13(4).
    5. Cristina López-Duarte & Marta M. Vidal-Suárez & Belén González-Díaz, 2018. "The early adulthood of the Asia Pacific Journal of Management: A literature review 2005–2014," Asia Pacific Journal of Management, Springer, vol. 35(2), pages 313-345, June.

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